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Mining Text Data

By Aggarwal, Charu C.

Mining Text Data Computer Science

Mining Text Data

0 - Default Title
Description
Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.
Product details
Edition:
1
Number of Pages:
536
Release Date:
2012-02-03
Publication Date:
2012-02-03
Publisher:
Springer New York
Languages:
Original: English
ISBN10:
1461432227
ISBN13:
9781461432227
GPSR Manufacturer Reference:
[email protected]
Weight:
963 g
Height:
160 cm
Width:
241 cm
Thickness:
34 cm
Preview Link:
http://www.blickinsbuch.de/viewer/cm/access.php?djMxNTY9NDIwMzQ1MjgxNyZ2NzM3Nj05NzgxNDYxNDMyMjI3
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